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» Data visualisation and manifold mapping using the ViSOM
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ACSW
2004
13 years 6 months ago
Visualisation and Comparison of Image Collections based on Self-organised Maps
Self-organised maps (SOM) have been widely used for cluster analysis and visualisation purposes in exploratory data mining. In image retrieval applications, SOMs have been used to...
Da Deng, Jianhua Zhang, Martin K. Purvis
GCB
2009
Springer
193views Biometrics» more  GCB 2009»
13 years 8 months ago
Integration and Visualisation of Multimodal Biological Data
: Understanding complex biological systems requires data from manifold biological levels. Often this data is analysed in some meaningful context, for example, by integrating it int...
Hendrik Rohn, Christian Klukas, Falk Schreiber
APBC
2004
13 years 6 months ago
Representing Experimental Biological Data in Metabolic Networks
This paper describes a novel approach to representing experimental biological data in metabolic networks. The aim is to allow biologists to visualise and analyse the data in the c...
Tim Dwyer, Hardy Rolletschek, Falk Schreiber
ICANN
2010
Springer
13 years 5 months ago
Visualising Clusters in Self-Organising Maps with Minimum Spanning Trees
Abstract. The Self-Organising Map (SOM) is a well-known neuralnetwork model that has successfully been used as a data analysis tool in many different domains. The SOM provides a to...
Rudolf Mayer, Andreas Rauber
IPMI
2005
Springer
14 years 5 months ago
Analysis of Event-Related fMRI Data Using Diffusion Maps
The blood oxygen level-dependent (BOLD) signal in response to brief periods of stimulus can be detected using event-related functional magnetic resonance imaging (ER-fMRI). In this...
François G. Meyer, Xilin Shen